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Uncertainties in the land-use flux resulting from land-use change reconstructions and gross land transitions

Bayer, Anita D. ; Lindeskog, Mats LU ; Pugh, Thomas Alan Miller LU ; Anthoni, Peter M. ; Fuchs, Richard and Arneth, Almut LU (2017) In Earth System Dynamics 8(1). p.91-111
Abstract

Land-use and land-cover (LUC) changes are a key uncertainty when attributing changes in measured atmospheric CO2 concentration to its sinks and sources and must also be much better understood to determine the possibilities for land-based climate change mitigation, especially in the light of human demand on other land-based resources. On the spatial scale typically used in terrestrial ecosystem models (0.5 or 1°) changes in LUC over time periods of a few years or more can include bidirectional changes on the sub-grid level, such as the parallel expansion and abandonment of agricultural land (e.g. in shifting cultivation) or cropland-grassland conversion (and vice versa). These complex changes between classes within a grid cell have often... (More)

Land-use and land-cover (LUC) changes are a key uncertainty when attributing changes in measured atmospheric CO2 concentration to its sinks and sources and must also be much better understood to determine the possibilities for land-based climate change mitigation, especially in the light of human demand on other land-based resources. On the spatial scale typically used in terrestrial ecosystem models (0.5 or 1°) changes in LUC over time periods of a few years or more can include bidirectional changes on the sub-grid level, such as the parallel expansion and abandonment of agricultural land (e.g. in shifting cultivation) or cropland-grassland conversion (and vice versa). These complex changes between classes within a grid cell have often been neglected in previous studies, and only net changes of land between natural vegetation cover, cropland and pastures accounted for, mainly because of a lack of reliable high-resolution historical information on gross land transitions, in combination with technical limitations within the models themselves. In the present study we applied a state-of-The-Art dynamic global vegetation model with a detailed representation of croplands and carbon-nitrogen dynamics to quantify the uncertainty in terrestrial ecosystem carbon stocks and fluxes arising from the choice between net and gross representations of LUC. We used three frequently applied global, one recent global and one recent European LUC datasets, two of which resolve gross land transitions, either in Europe or in certain tropical regions. When considering only net changes, land-use-Transition uncertainties (expressed as 1 standard deviation around decadal means of four models) in global carbon emissions from LUC (ELUC) are ±0.19, ±0.66 and ±0.47gCa1 in the 1980s, 1990s and 2000s, respectively, or between 14 and 39% LUC. Carbon stocks at the end of the 20th century vary by ±11 PgC for vegetation and ±37PgC for soil C due to the choice of LUC reconstruction, i.e. around 3% of the respective C pools. Accounting for sub-grid (gross) land conversions significantly increased the effect of LUC on global and European carbon stocks and fluxes, most noticeably enhancing global cumulative ELUC by 33PgC(1750-2014) and entailing a significant reduction in carbon stored in vegetation, although the effect on soil C stocks was limited. Simulations demonstrated that assessments of historical carbon stocks and fluxes are highly uncertain due to the choice of LUC reconstruction and that the consideration of different contrasting LUC reconstructions is needed to account for this uncertainty. The analysis of gross, in addition to net, land-use changes showed that the full complexity of gross land-use changes is required in order to accurately predict the magnitude of LUC change emissions. This introduces technical challenges to process-based models and relies on extensive information regarding historical land-use transitions.

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author
; ; ; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Earth System Dynamics
volume
8
issue
1
pages
21 pages
publisher
Copernicus GmbH
external identifiers
  • scopus:85012899460
  • wos:000395109700001
ISSN
2190-4979
DOI
10.5194/esd-8-91-2017
language
English
LU publication?
yes
id
1c802f58-8a43-44dd-9272-51f0605d214f
date added to LUP
2017-02-27 13:47:48
date last changed
2024-06-24 16:27:58
@article{1c802f58-8a43-44dd-9272-51f0605d214f,
  abstract     = {{<p>Land-use and land-cover (LUC) changes are a key uncertainty when attributing changes in measured atmospheric CO2 concentration to its sinks and sources and must also be much better understood to determine the possibilities for land-based climate change mitigation, especially in the light of human demand on other land-based resources. On the spatial scale typically used in terrestrial ecosystem models (0.5 or 1°) changes in LUC over time periods of a few years or more can include bidirectional changes on the sub-grid level, such as the parallel expansion and abandonment of agricultural land (e.g. in shifting cultivation) or cropland-grassland conversion (and vice versa). These complex changes between classes within a grid cell have often been neglected in previous studies, and only net changes of land between natural vegetation cover, cropland and pastures accounted for, mainly because of a lack of reliable high-resolution historical information on gross land transitions, in combination with technical limitations within the models themselves. In the present study we applied a state-of-The-Art dynamic global vegetation model with a detailed representation of croplands and carbon-nitrogen dynamics to quantify the uncertainty in terrestrial ecosystem carbon stocks and fluxes arising from the choice between net and gross representations of LUC. We used three frequently applied global, one recent global and one recent European LUC datasets, two of which resolve gross land transitions, either in Europe or in certain tropical regions. When considering only net changes, land-use-Transition uncertainties (expressed as 1 standard deviation around decadal means of four models) in global carbon emissions from LUC (ELUC) are ±0.19, ±0.66 and ±0.47gCa<sup>1</sup> in the 1980s, 1990s and 2000s, respectively, or between 14 and 39% LUC. Carbon stocks at the end of the 20th century vary by ±11 PgC for vegetation and ±37PgC for soil C due to the choice of LUC reconstruction, i.e. around 3% of the respective C pools. Accounting for sub-grid (gross) land conversions significantly increased the effect of LUC on global and European carbon stocks and fluxes, most noticeably enhancing global cumulative ELUC by 33PgC(1750-2014) and entailing a significant reduction in carbon stored in vegetation, although the effect on soil C stocks was limited. Simulations demonstrated that assessments of historical carbon stocks and fluxes are highly uncertain due to the choice of LUC reconstruction and that the consideration of different contrasting LUC reconstructions is needed to account for this uncertainty. The analysis of gross, in addition to net, land-use changes showed that the full complexity of gross land-use changes is required in order to accurately predict the magnitude of LUC change emissions. This introduces technical challenges to process-based models and relies on extensive information regarding historical land-use transitions.</p>}},
  author       = {{Bayer, Anita D. and Lindeskog, Mats and Pugh, Thomas Alan Miller and Anthoni, Peter M. and Fuchs, Richard and Arneth, Almut}},
  issn         = {{2190-4979}},
  language     = {{eng}},
  month        = {{02}},
  number       = {{1}},
  pages        = {{91--111}},
  publisher    = {{Copernicus GmbH}},
  series       = {{Earth System Dynamics}},
  title        = {{Uncertainties in the land-use flux resulting from land-use change reconstructions and gross land transitions}},
  url          = {{http://dx.doi.org/10.5194/esd-8-91-2017}},
  doi          = {{10.5194/esd-8-91-2017}},
  volume       = {{8}},
  year         = {{2017}},
}